Papers Read on AI

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June 29, 2022  

OmniXAI: A Library for Explainable AI

June 29, 2022

We introduce OmniXAI 1 (short for Omni eXplainable AI), an open-source Python library of eXplainable AI (XAI), which offers omni-way explainable AI capabilities and various interpretable machine learning techniques to address the pain points of understanding and interpreting the decisions made by machine learning (ML) in practice. OmniXAI aims to be a one-stop comprehensive library that makes explainable AI easy for data scientists, ML researchers and practitioners who need explanation for various types of data, models and explanation methods at different stages of ML process.

2022: Wenzhuo Yang, Hung Le, S. Savarese, S. Hoi

https://arxiv.org/pdf/2206.01612v3.pdf